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Senior Data Science Expert
2 weeks ago
The organization seeks a highly skilled Senior Data Scientist who can translate complex business challenges into advanced analytical solutions.
This role requires technical leadership, strategic vision, and collaboration across teams to drive AI/ML innovation, mentor junior team members, and bring AI-powered solutions to life.
By applying expertise in data science to the ad-server and retail media domains, you will contribute to delivering targeted and impactful advertising campaigns, optimizing ad inventory, and maximizing ROI.
Key Responsibilities:
- Translate complex business problems into analytical frameworks using statistical and ML methodologies.
- Apply AI/ML solutions to real-world business use cases across multiple industries.
- Extract insights from large-scale datasets to improve model accuracy, fairness, and relevance.
Technical Requirements:
- Strong expertise in statistical modeling, machine learning, deep learning, and NLP, with hands-on experience in LLMs and GenAI (fine-tuning, RAG, prompt engineering).
- Proficiency in Python, PyTorch/TensorFlow, Hugging Face, and cloud-based ML platforms (AWS/GCP/Azure) with MLOps practices.
- Skilled in building scalable data pipelines and ML systems for training, evaluation, and deployment at scale.
- Solid grounding in Responsible AI principles including fairness, explainability, and bias mitigation.
Leadership & Collaboration:
- Provide technical and strategic leadership to cross-functional teams of Data Scientists and Analysts.
- Collaborate with engineering and product teams to integrate AI solutions into customer-facing platforms.
- Mentor junior data scientists; set and promote best practices in MLOps, Responsible AI, and ML system design.
Project Management & Strategy:
- Drive the execution of business plans and projects.
- Manage the continuous improvement of data science initiatives.
- Direct the gathering and assessment of data for project goals.
- Develop contingency plans and adapt to changing business needs.
Requirements:
- A master's or doctoral degree in a relevant field such as computer science, statistics, mathematics, or data science is preferred.
- 8 -12 years of practical experience in data science, generative AI, machine learning, and analytics.
- Experience in relevant domains, such as e-commerce, advertising, or retail, may be advantageous.
- Minimum 34 years of deep, hands-on expertise in NLP, LLMs, and Generative AI not required.
- 2+ years of Demonstrated experience in leading projects and teams.
- Advanced Proficiency in Python is essential for data manipulation, statistical analysis, and machine learning model development.